I wrote a short series of posts about spiking neural networks, and how to use gradient descent to train them

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Basically an overview of spiking neurons, how they differ from standard ANNs, and how to apply gradient descent via spiking surrogate functions.

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There's unfortunately not much to read here yet...

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